CompositionalSR-package: Spatial Regression Models with Compositional Data

In CompositionalSR: Spatial Regression Models with Compositional Data

Spatial Regression Models with Compositional Data

Description

Spatial regression models with compositional responses using the \alpha–transformation. The models included are the \alpha-regression (not spatial), the \alpha-regression (not spatial) with compositional predictors, the \alpha-spatially lagged X (\alpha-SLX) model and the geographically weighted \alpha-regression (GW\alphaR) model.

Details

Package:	CompositionalSR
Type:	Package
Version:	1.2
Date:	2026-03-28
License:	GPL-2

Maintainers

Michail Tsagris <[e-mail]>

Author(s)

Michail Tsagris [e-mail].

References

Tsagris M. and Pantazis Y. (2026). The \alpha–regression for compositional data: a unified framework for standard, spatially-lagged, spatial autoregressive and geographically-weighted regression models. https://arxiv.org/pdf/2510.12663

Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Statistics, 6(2): 47-57. https://arxiv.org/pdf/1508.01913v1.pdf

Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. In Proceedings of the 4th Compositional Data Analysis Workshop, Girona, Spain. https://arxiv.org/pdf/1106.1451.pdf

CompositionalSR documentation built on March 28, 2026, 5:07 p.m.